Glasser
Glasser

数据提供商: DataForSEO

使用DataForSEO获取目标对象的精简AI提及指标。

每次调用 $0.10 起在 60 秒内响应

在一个地点、使用同一种语言,可以按平台分别查看一个或多个关键词或域名的被提及次数以及AI搜索量,每个平台的数据会显示在单独的一行中。每一行都包含了相应的位置、语言、平台、被提及的次数以及AI搜索量等信息。每次调用发送一次请求,按供应商的价目表计费;空结果集会标记为无结果。默认地区为美国(location_code 2840);ChatGPT 回答仅支持美国英语数据,不在 DataForSEO LLM Mentions 地区列表中的地区会被拒绝。

如何调用

第 1 步接入

首次使用时,将提示词粘贴到 Agent 对话中。Skill 会自动安装 CLI 并完成登录。无法使用 shell 的 Agent 可通过 MCP 接入。

接入
set up https://glasser.ai/SKILL.md

Show me how to use the DataForSEO endpoint /v3/ai_optimization/llm_mentions/target_metrics_lite/live on Glasser.

第 2 步尝试一个具体任务

报告品牌在 AI 回答中的曝光情况时,可以在可用数据中查找品牌提及,并收集支持证据。

复制此提示词到你的 Agent,审阅 AI 可见度报告的证据。

提示词
Use dataforseo:/v3/ai_optimization/llm_mentions/target_metrics_lite/live on Glasser.
Find evidence of my brand in the returned AI visibility data for my monitoring report.

接口结构

json
{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "location_code",
    "language_code",
    "limit",
    "target"
  ],
  "properties": {
    "tag": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 1
    },
    "limit": {
      "type": "integer",
      "maximum": 20,
      "minimum": 1
    },
    "offset": {
      "type": "integer",
      "maximum": 10000,
      "minimum": 0
    },
    "target": {
      "type": "array",
      "items": {
        "anyOf": [
          {
            "type": "object",
            "required": [
              "domain"
            ],
            "properties": {
              "domain": {
                "type": "string",
                "pattern": "^(?!https?:\\/\\/)(?!www\\.)[a-z0-9.-]+$",
                "maxLength": 63,
                "minLength": 1
              },
              "search_scope": {
                "type": "array",
                "items": {
                  "enum": [
                    "any",
                    "sources",
                    "search_results"
                  ],
                  "type": "string"
                },
                "maxItems": 3,
                "minItems": 1
              },
              "search_filter": {
                "enum": [
                  "include",
                  "exclude"
                ],
                "type": "string"
              },
              "include_subdomains": {
                "type": "boolean"
              }
            },
            "additionalProperties": false
          },
          {
            "type": "object",
            "required": [
              "keyword"
            ],
            "properties": {
              "keyword": {
                "type": "string",
                "maxLength": 250,
                "minLength": 1
              },
              "match_type": {
                "enum": [
                  "word_match",
                  "partial_match"
                ],
                "type": "string"
              },
              "search_scope": {
                "type": "array",
                "items": {
                  "enum": [
                    "any",
                    "question",
                    "answer",
                    "brand_entities",
                    "fan_out_queries"
                  ],
                  "type": "string"
                },
                "maxItems": 5,
                "minItems": 1
              },
              "search_filter": {
                "enum": [
                  "include",
                  "exclude"
                ],
                "type": "string"
              }
            },
            "additionalProperties": false
          }
        ]
      },
      "maxItems": 10,
      "minItems": 1
    },
    "platform": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 1
    },
    "language_code": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 1
    },
    "location_code": {
      "type": "integer"
    }
  },
  "additionalProperties": false
}

计费说明

基础费用有无匹配数据均按此价格收费。$0.10
每行按返回的每行计费。$0.001
每次运行的费用上限总费用不会超过此金额。$0.12
数据提供商错误数据提供商未能响应。$0.00
运行超时运行超过时间限制。$0.00
内部错误内部错误导致运行未能完成。$0.00
方法POST版本1数据提供商文档 ↗